AI voice calling, in Telugu and English
Voice Lens is an AI voice-calling platform for outbound follow-ups, surveys, reminders and confirmations. Try it below: talk to the bot straight from your browser.
Talk to our humanised AI assistant from your browser. Allow microphone access and it will greet you, listen, and reply as you speak.
How Voice Lens works
Stage 1 of 5 · Bot creation
Four guided steps take you from a plain-language brief to a bot with its identity, greetings, rules and questions written for you.
Stage 2 of 5 · Data & integration
Upload a file for a one-off list, or connect a live API so new records from your CRM flow straight into the bot.
Stage 3 of 5 · Call scheduler
Call everyone on this bot's list, at a time you choose and at a pace you set. For calls timed from each person's own dates, use Smart Schedule.
Stage 4 of 5 · Automatic calls
Once set up, calls trigger automatically. Each one discloses it is automated, speaks naturally in the chosen language, follows up on answers and ends properly.
Stage 5 of 5 · Dashboard
Call data, sentiment, outcomes, clusters and geography, all refreshed continuously as more calls complete.
Call customers one day after their car service and ask how the visit went, whether the car was ready on time, and if they would recommend us.
Use cases
Every call is one of three types, and each use case fires from an event your systems already record.
In the order they fire →
Fires when: Policy anniversary or pre-payout
Verifies contact and nominee details. Reduces payout disputes and repairs the contact record.
Fires when: Claim closed
Captures where the process broke — delays, documentation, surveyor conduct — categorised for the claims head.
Fires when: Before expiry date
Confirms the customer knows date and amount; captures reason if they intend to lapse.
Fires when: Dormancy or flag raised
Confirms identity and contact on stale accounts. Self-correcting — repairs the number staleness it encounters.
Fires when: Before due date
Service call confirming amount and date, with acknowledgment captured. Reduces roll-forward.
Fires when: After payment missed
Captures why — job loss, medical, crop cycle, dispute — so collections strategy responds to causes.
Note
Tell comes before Ask here: the reminder fires before the due date, and the diagnostic only after a payment is missed. Calls are pre-due service communication only.
Fires when: Out-for-delivery status
Confirms someone will be home, offers reschedule. Attacks return-to-origin cost directly.
Fires when: Delivery attempt failed
Captures a working slot instead of blind-retrying. Saves the second failed visit.
Fires when: Periodic
Check-in with partners on pay disputes, route load, app issues. Early warning on churn.
Fires when: Booking made
Confirms the slot and expected work. Recovers bay capacity lost to no-shows.
Fires when: Job card closed
Captures service quality, advisor conduct, billing surprises. OEM-mandated, tied to incentive payouts.
Fires when: Before entitlement lapses
Reaches customers before a free service or AMC window closes. Revenue recovery on lapsed entitlements.
Fires when: Before scheduled date
Confirms attendance and checks the patient understood fasting or preparation instructions.
Fires when: Before admission
Verifies insurance and contact details. Reduces claim rejections and billing disputes.
Fires when: Discharge event
Captures care quality, staff conduct, discharge clarity, billing transparency. Supports NABH requirements.
Note
Experience and logistics only — never clinical assessment or advice. Any symptom disclosure routes to a human.
Fires when: Slot booked
Confirms the phlebotomist visit window. High volume, expensive failed visits.
Fires when: Report published
Announces availability with collection or access instructions.
Fires when: End of journey
Captures punctuality, technician conduct, sample-handling concerns.
Note
Diagnostics runs Confirm → Tell → Ask: the report notification falls between collection and the point where a full-journey survey makes sense.
Fires when: Dispatch scheduled
Confirms availability before dispatch. Order systems are API-native, so integration is fast.
Fires when: Delivery or install completed
Captures product condition, courier conduct, installation quality by technician or region.
Fires when: Before warranty or plan lapses
Calls before expiry with renewal intent captured. Direct revenue recovery.
Fires when: Visit scheduled
Confirms the appointment window. Reduces failed visits, improves technician utilisation.
Fires when: Service ticket closed
Verifies the issue was actually fixed. Networks routinely over-report first-time resolution.
Fires when: Before AMC expiry
Reaches customers with expiring contracts, capturing renewal or decline reason.
Fires when: Enquiry logged
Follows up on enquiries, confirms intent and seat acceptance. Freshest data in the sector.
Fires when: Date or event driven
Parent-facing, vernacular. Reaches families who don't use the school app.
Fires when: Attendance decline detected
Captures causes — fee stress, transport, health, teaching concerns — as early warning.
Note
Tell fires throughout the term, while the dropout-risk diagnostic only fires when attendance declines. Calls go to parents, never to students.
Fires when: Before technician dispatch
Verifies address and alternate contact. Prevents wasted field visits.
Fires when: Job closed
Captures technician conduct, resolution quality, repeat-fault signals at engineer level.
Fires when: Before disconnection
Service reminder with churn reason captured if the customer intends to leave.
Fires when: Before disbursement cycle
Verifies contact details and continued eligibility. Prevents failed payments; repairs the database as a by-product.
Fires when: Document approved
Notifies applicants a certificate, licence or approval is ready, with collection instructions. Reduces repeat visits to service centres.
Fires when: Event-driven, out of cycle
Reaches households ahead of floods, cyclones or supply disruption in local language, with acknowledgment captured so authorities know who was reached.
Fires when: Disbursement posted
Verifies the money actually reached, in full, on time, at the right place. Structured lapse codes map to existing audit and grievance systems.
Fires when: Grievance ticket closed
Verifies the complaint was genuinely resolved. Measures the gap between reported disposal and citizen-reported resolution.
Guardrails, security and privacy
Every call opens by telling the person they are speaking with an automated assistant.
No OTPs, card numbers or payment promises, on any bot, in any language.
If someone asks not to be called, the call ends politely and the request is kept.
Every dialer stays within your configured hours, inside the 09:00–21:00 IST window.
Contact lists, recordings and transcripts are used only to run your campaigns, and can live in your own storage.
Phone numbers, Aadhaar numbers and OTPs are masked in every transcript.
Uploaded documents are screened into safe facts. The raw files never reach the bot.
API keys are scoped per integration, so each connection sees only what it needs.
Verified before production calling
Pricing
Pricing follows your call volume, direction and what you connect. Tell us about your campaign and we'll put a plan together.
For teams building their own bots
Self-serve. Sign up, build your first bot and start calling from a list.
For teams answering customer calls
Every incoming call answered at once, in the caller's language, so no customer waits in a queue.
For organisations calling at scale
Volume pricing, live integrations and guided onboarding, shaped around your rollout.
No approval wait to get started. Verify for production calling whenever you're ready.